Analysing the impact of Artificial Intelligence on teacher-student interaction in the light of actor-network theory

The relationship between teacher and learners is one of the most critical elements in the educational context. Technological developments and, specifically, artificial intelligence have deeply challenged the classical teacher-student-teacher interaction models. Moreover, recent developments related to large language models and generative AI already represent a significant shift in the dynamics of teacher-student interaction. AI technologies foster the creation of autonomous systems that can initiate interactions between actors and create content. In the Actor-Network Theory (ANT) perspective, technological actants are transformed from passive mediators to active players. In this changing landscape, this contribution analyses the state of the art of the changes introduced by AI in teacher-student-teacher interaction models in light of the theoretical framework provided by ANT.